Google Pixel 8
Geekbench AI Score
309
Single Precision Score
3809
Half Precision Score
6379
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | musarikhotso |
| Upload Date | November 20 2024 07:23 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
247
45.9 IPS |
|
|
Image Classification (HP)
|
100% |
3620
673.2 IPS |
|
|
Image Classification (Q)
|
99% |
3975
741.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
285
4.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
6679
108.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14032
228.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30461
35.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
61792
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
|
Object Detection (HP)
|
100% |
4239
336.2 IPS |
|
|
Object Detection (Q)
|
87% |
5572
447.0 IPS |
|
|
Face Detection (SP)
|
100% |
420
4.99 IPS |
|
|
Face Detection (HP)
|
100% |
14111
167.7 IPS |
|
|
Face Detection (Q)
|
97% |
23936
285.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
415
3.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
27768
213.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
34201
314.8 IPS |
|
|
Style Transfer (SP)
|
100% |
561
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (Q)
|
72% |
2351
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.16 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7923
292.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13548
502.0 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.6 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.1 IPS |
|
|
Text Classification (Q)
|
92% |
857
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.35 IPS |
